Generative AI Solutions
Move beyond off-the-shelf wrappers. We specialize in Parameter-Efficient Fine-Tuning (PEFT/LoRA), Direct Preference Optimization (DPO), and custom synthetic dataset synthesis to train models that speak your exact industry vernacular while respecting confidential intellectual property.
Architectural Blueprint & Engineering Approach
While general-purpose frontier models are exceptionally capable, they are expensive to query at scale, suffer from unpredictability, and cannot be self-hosted within sovereign air-gapped environments. Custom model adaptation bridges the gap between frontier capability and proprietary domain precision.
We leverage Parameter-Efficient Fine-Tuning (LoRA/QLoRA) and Direct Preference Optimization (DPO) on open-weights architectures such as Llama 3.3 and Mistral Large. Using NVIDIA TensorRT-LLM and vLLM runtimes, we deploy distilled models that match frontier performance on domain-specific tasks at a fraction of the inference latency and token cost.
4-Phase Engineering Delivery Lifecycle
Dataset Synthesis & Curation
Curating proprietary prompt-completion pairs, cleaning training data, and generating synthetic augmentations.
PEFT & LoRA Fine-Tuning
Executing LoRA/QLoRA training runs on GPU clusters, tracking loss curves, and optimizing hyper-parameters.
DPO Alignment & Evaluation
Running Direct Preference Optimization to align model behavior with business guardrails and safety criteria.
Inference Deployment & Quantization
Serving quantized weights on vLLM with autoscaling GPU endpoints, caching, and health telemetry.
Technical Scope & System Capabilities
Domain adaptation utilizing LoRA, QLoRA, and full parameter fine-tuning
Synthetic data generation with automated verification and adversarial filtering
Direct Preference Optimization (DPO) and Reinforcement Learning from AI Feedback (RLAIF)
High-throughput low-latency inference serving with vLLM and TensorRT-LLM
Proprietary model quantization (AWQ, FP8, INT4) for optimized GPU footprint
Continuous model evaluation against domain-specific test harnesses
Commercial & Architectural Advantages
65%+ Compute Cost Reduction
Distill massive commercial models into compact 8B or 70B open-weights models running on private hardware.
Zero Data Egress & Sovereign Control
Deploy proprietary weights entirely within your UK cloud or on-premise data center.
Exact Domain Vernacular
Eliminate generic phrasing: your model speaks your company's precise technical and legal dialect.
Production Deliverables & IP Transfer
Primary Technology Stack
Fixed-Scope Sprints or Autonomous Pods
We guarantee zero junior staff, UK GDPR data sovereignty, and full transfer of all code and model artifacts.
Book Service ConsultationReady to Transition from Legacy Operations to Autonomous AI Efficiency?
Schedule a 45-minute confidential architectural consultation with our London Principal AI Architect. We will dissect your bottlenecks, assess feasibility, and outline an actionable implementation roadmap.